code: def to_x(self, n_id):
      (x,) = tf_euler.get_dense_feature(
          n_id, self.feature_idx, self.feature_dim
      )
      return x
  
file_path: euler/examples/gat/gat.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.convolution import GATConv
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from tf_euler.python.mp_utils.base import SuperviseModel
label_desc: Use image node_id 2 for calling the GNN obj's underlying member method code with example usage: obj.to_x(n_id) and returns: x